Thomas R. Lane
- Computational Theory and Mathematics top 1%
- Molecular Biology
- Infectious Diseases top 5%
- Materials Chemistry
- Artificial Intelligence top 10%
- Co-authors
- Sean EkinsKimberley M. ZornDaniel P. RussoAlex M. ClarkAna C. PuhlDaniel H. FoilPeter B. MadridAnthony J. Hickey
- Topics
- Computational Drug Discovery Methods (26 papers)Pharmacogenetics and Drug Metabolism (8 papers)Viral Infections and Outbreaks Research (8 papers)
- Partner nations
- United StatesRussiaBrazil
In The Last Decade
Thomas R. Lane
60 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 572
- Molecular Biology 549
- Infectious Diseases 285
- Materials Chemistry 227
- Artificial Intelligence 121
Countries citing papers authored by Thomas R. Lane
This map shows the geographic impact of Thomas R. Lane's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas R. Lane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas R. Lane more than expected).
Fields of papers citing papers by Thomas R. Lane
This network shows the impact of papers produced by Thomas R. Lane. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas R. Lane. The network helps show where Thomas R. Lane may publish in the future.
Co-authorship network of co-authors of Thomas R. Lane
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas R. Lane. A scholar is included among the top collaborators of Thomas R. Lane based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas R. Lane. Thomas R. Lane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 6 | |
| 16 | 11 | |
| 17 | 17 | |
| 18 | Exploiting machine learning for end-to-end drug discovery and developmentbreakdown → | 352 |
| 19 | 26 | |
| 20 | 23 |
About Thomas R. Lane
Thomas R. Lane is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Virology, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Viral Infections and Outbreaks Research (8 papers). The work is most often cited by research in Computational Theory and Mathematics (572 citations), Aging (54 citations) and Health Informatics (30 citations). Thomas R. Lane has collaborated with scholars based in United States, Russia and Brazil. Frequent co-authors include Sean Ekins, Kimberley M. Zorn, Daniel P. Russo, Alex M. Clark, Ana C. Puhl, Daniel H. Foil, Peter B. Madrid, Anthony J. Hickey, Jennifer J. Klein and Eni Minerali. Their work appears in journals such as Nature Materials, Environmental Science & Technology and Journal of Molecular Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.